* Revise host mode.
The current implementation of host mode uses a `pulumi host` command and
an ad-hoc communication protocol between the engine and client to
connect a language host after the host has begun listening. The most
significant disadvantages of this approach are the communication
protocol (which currently requires the use of stdout), the host-specific
command, and the difficulty of accommodating the typical program-bound
lifetime for an update.
These changes reimplement host mode by adding engine support for
connecting to an existing language runtime service rather than launching
a plugin. This capability is provided via an engine-specific language
runtime, `client`, which accepts the address of the existing languge
runtime service as a runtime option. The CLI exposes this runtime via
the `--client` flag to the `up` and `preview` commands, which similarly
accepts the address of an existing language runtime service as an
argument. These changes also adjust the automation API to consume the
new host mode implementation.
When installing a plugin, if it contains a `PulumiPlugin.yaml` file with a `runtime` value of `nodejs` or `python`, install dependencies for the plugin.
For Node.js, `npm install` is run (or `yarn install` if `PULUMI_PREFER_YARN` is set).
For Python, a virtual environment is created and deps installed into it.
Non-string provider inputs must be projected as JSON formatted strings. The current codegen simply calls `json.dumps` for such properties, but this does not work for the new input types, which aren't JSON serializable.
To address this, make use of the new `pulumi.runtime.to_json` utility function, which is capable of serializing raw dicts and input types as JSON.
We currently emit array types as `List[T]` for Python, but `List[T]` is invariant, which causes type checkers like mypy to produce errors when values like `["foo", "bar"]` are passed as args typed as `List[pulumi.Input[str]]`. Instead, we should move to using `Sequence[T]` which is covariant, and does not have this problem.
We actually already do this for `Dict` vs. `Mapping`, emitting map types as `Mapping[str, T]` rather than `Dict[str, T]` because `Mapping[str, T]` is covariant. This change makes us consistent for array types.
* add initial pull-request workflow
* run SDK test all
* add SDK tests
* fixup make targets
* add dist target
* revert back to 5 updates
* disable test
* add issue for test disabling
Non-string provider inputs must be projected as JSON formatted strings. The current codegen simply calls `json.dumps` for such properties, but this does not work for the new input types, which aren't JSON serializable.
This commit adds a new `pulumi.runtime.to_json` utility function to the core SDK, which is capable of serializing both raw dicts and input types as JSON. The codegen will be updated to make use of this new function rather than `json.dumps`.
We currently emit array types as `List[T]` for Python, but `List[T]` is invariant, which causes type checkers like mypy to produce errors when values like `["foo", "bar"]` are passed as args typed as `List[pulumi.Input[str]]` (since `Input[str]` is an alias for `Union[T, Awaitable[T], Output[T]]`. To address this, we should move to using [`Sequence[T]`](https://docs.python.org/3/library/typing.html#typing.Sequence) which is covariant, and does not have this problem.
We actually already do this for `Dict` vs. `Mapping`, emitting map types as `Mapping[str, T]` rather than `Dict[str, T]` because `Mapping[str, T]` is covariant for the value. This change makes us consistent for array types.
These are the SDK changes necessary to support `Sequence[T]`.
These changes add initial support for the construction of remote
components. For now, this support is limited to the NodeJS SDK;
follow-up changes will implement support for the other SDKs.
Remote components are component resources that are constructed and
managed by plugins rather than by Pulumi programs. In this sense, they
are a bit like cloud resources, and are supported by the same
distribution and plugin loading mechanisms and described by the same
schema system.
The construction of a remote component is initiated by a
`RegisterResourceRequest` with the new `remote` field set to `true`.
When the resource monitor receives such a request, it loads the plugin
that implements the component resource and calls the `Construct`
method added to the resource provider interface as part of these
changes. This method accepts the information necessary to construct the
component and its children: the component's name, type, resource
options, inputs, and input dependencies. It is responsible for
dispatching to the appropriate component factory to create the
component, then returning its URN, resolved output properties, and
output property dependencies. The dependency information is necessary to
support features such as delete-before-replace, which rely on precise
dependency information for custom resources.
These changes also add initial support for more conveniently
implementing resource providers in NodeJS. The interface used to
implement such a provider is similar to the dynamic provider interface
(and may be unified with that interface in the future).
An example of a NodeJS program constructing a remote component resource
also implemented in NodeJS can be found in
`tests/construct_component/nodejs`.
This is the core of #2430.
